Join Our Team: Applied Scientist, Ad Fraud Detection, Traffic Quality - ML at Amazon

Amazon’s advertising division has evolved into a multi-billion dollar enterprise that spans desktop, mobile, and connected devices. Our ads reach audiences globally across Amazon and a network of hundreds of thousands of third party publishers. As part of our growth, particularly in Traffic Quality, we are dedicated to improving the integrity of our advertising network through cutting-edge machine learning techniques. Our goal is to safeguard a high-quality advertising marketplace by eliminating non-human and invalid traffic from programmatic ad sources.

We are on the lookout for exceptional applied scientists with a passion for crafting sophisticated machine learning algorithms. As an essential member of our team, you will tackle complex challenges in advertising fraud detection using advanced methodologies such as deep learning, self-supervised techniques, representation learning, and advanced clustering. Your work will involve processing billions of ad-impressions and clicks daily using some of the latest technologies, including Spark, Redis, and Amazon’s various cloud services like EC2, S3, EMR, DynamoDB, and RedShift.

Job Location: We welcome candidates to join us in one or more of our vibrant offices in Bangalore, KA, IND or Hubli, KA, IND.

Basic Qualifications

• 3+ years of experience in building models for business applications
• PhD or a Master’s degree plus 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or related fields
• Demonstrable experience in patents or publications at reputable, peer-reviewed conferences or journals
• Proficiency in programming languages like Java, C++, Python, or similar
• Expertise in one or more areas including algorithms, data structures, numerical optimization, data mining, and high-performance computing

Preferred Qualifications

• Hands-on experience with Big Data technologies
• Proven background in the Programmatic Advertising Industry

We are committed to building sustainable, state-of-the-art traffic filtering solutions that not only eliminate wasteful spending but also enhance advertiser trust. If you are driven by innovation and the prospect of contributing to industry-leading solutions in ad fraud detection, we would love to hear from you.

Apply today and help shape the future of advertising at Amazon, ensuring a transparent, secure, and effective marketplace for all our users worldwide.